The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
The interdealer market for Treasury securities shares many features with other highly liquid markets that trade electronically using anonymous central limit order books. The interdealer Treasury market, however, contains a unique trading protocol, the so-called workup, that accounts for the majority of interdealer trading volume. While the workup is designed to enhance liquidity in a market with diverse participation, it may also delay certain price-improving order book adjustments and therefore affect price discovery. In this post, we exploit the tight relationship between the ten-year Treasury note traded on the BrokerTec platform and the corresponding Treasury futures contract to explore how the workup protocol affects trading in the interdealer market and to highlight the impact of technological changes on observed trading behaviors.
The U.S. Treasury market is one of the deepest and most liquid markets in the world, with significant trading in both Treasury futures and benchmark securities. In this post, we examine the pattern of trading activity in these instruments and document the substantial increase in cross-market trading (simultaneous order placement and execution in multiple markets) in recent years, highlighting the impact of technological advancements that allow nearly instantaneous trading across assets and trading platforms. Identifying the growing role played by high-frequency trading in U.S. Treasury markets is important for understanding the price discovery process. Our findings suggest that price discovery takes place on both futures and cash markets and that cross-market trading helps maintain the tight link between the two.
The relative merits of algorithmic and high-frequency trading are most often discussed in the context of equity markets. In this post, we look at the foreign exchange (FX) spot market. The growth of algorithmic and high-frequency trading in this market has introduced new entrants as well as new complexities and challenges that have important implications for the liquidity landscape and the risk management framework in FX markets. This post focuses narrowly on an important measure of FX market efficiency, absence of arbitrage opportunities, to discuss the improvements in this particular measure of efficiency that have coincided with significant growth in algorithmic and high-frequency trading.
On May 6, 2010, several U.S.-based equity products underwent an extraordinary price decline and recovery, all within less than half an hour. The Dow Jones Industrial Average (DJIA) and other equity indices dropped by more than 5 percent in a matter of minutes, only to rebound as quickly. Individual equity securities experienced similar, if not larger, swings in prices, both up and down. This post describes what happened on that fateful day, and summarizes the findings of the academic literature on this topic.
Liberty Street Economics features insight and analysis from economists working at the intersection of research and policy. The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Donald Morgan.
The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.
Economic Research Tracker
Liberty Street Economics is now available on the iPhone® and iPad® and can be customized by economic research topic or economist.
Last 12 Months
LSE in the News
Access to linked content may require a subscription.
Liberty Street Economics invites you to comment on a post.
We encourage you to submit comments, queries and suggestions on our blog entries. We will post them below the entry, subject to the following guidelines:
Please be brief: Comments are limited to 1500 characters.
Please be quick: Comments submitted more than 1 week after the blog entry appears will not be posted.
Please try to submit before COB on Friday: Comments submitted after that will not be posted until Monday morning.
Please be on-topic and patient: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post. The moderator will not post comments that are abusive, harassing, or threatening; obscene or vulgar; or commercial in nature; as well as comments that constitute a personal attack. We reserve the right not to post a comment; no notice will be given regarding whether a submission will or will not be posted.
The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.